external-review
External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.
Skills matching the name, description or GitHub author.
External AI code review using Codex or Gemini. Reads project.yaml to determine which provider to use for frontend vs backend tasks. Includes hallucination detection to avoid blindly applying AI suggestions.
Evaluate external PR suggestions (Gemini, CodeRabbit) against project conventions. Use when asked to review or agree with external code review comments.
Reviews the git changes, identifies critical and high-priority issues, generates review summaries, and collects metrics data for local use. Use this when users need to code review or analyzing code changes for...
Guide for using custom user commands. Explains available commands, when to use them, and recommended workflows for scrum, planning, goals, and code review.
Domain specialist for code quality assessment, maintainability, complexity analysis, code smells detection, anti-patterns identification, and code style enforcement. Scope: code review methodologies, naming con...
Route ALL git operations to appropriate resources. Load reference files before responding. Scope: status, diff, log, commits, branches, conflicts, rebasing, code review. Triggers: "git", "status", "diff", "log"...
代码简化与优化专家/代码简化。Use this agent when you need to simplify, optimize, refactor, or clean up code. This agent helps reduce complexity, improve readability, and ensure code follows best practices like...
codereview / code review / 代码审查 - Go 代码深度审查技能,专注于性能、安全性、并发安全和可读性。支持审查本地未提交代码、最近 commit 或指定的 commit/分支/tag。支持简洁/详细两种输出模式。
Interact with OpenAI Codex CLI for plan review, code review, and complex problem discussion. Supports model selection and multi-round conversations. Usage: /codex-cli [options]
Deep code review with web research. USE WHEN user says 'double check against latest', 'verify versions', 'check security'. Complements automatic quality hook with ecosystem verification.
FTC skill code quality and structure checks. Activates when reviewing PRs, validating skills, or checking plugin compliance with marketplace standards. Use when reviewing pull requests, running local code revie...
Detect common code smells and anti-patterns providing feedback on quality issues a senior developer would catch during review. Use when user opens/views code files, asks for code review or quality assessment, m...
Systematic code review guidance covering correctness, maintainability, security, and performance. Activates for PR reviews and code quality checks.
Streamlined code review workflow - gets SHAs and invokes superpowers:code-reviewer without permission prompts
This skill should be used when the user asks about "code quality", "file size limits", "function length", "KISS", "DRY", "YAGNI", "SRP", "best practices", "clean code", "cyclomatic complexity", "code review che...
Local AI code reviews via CodeRabbit CLI. ONLY use when (1) user explicitly requests "coderabbit"/"cr review", OR (2) code changes are high-risk (security, concurrency, complex logic). Rate-limited to 1 review/...
This skill should be used when the user asks to "review code", "perform code review", "check code quality", "review PR", "provide code feedback", or needs guidance on code review best practices and standards in...
Provides comprehensive Python code review with focus on quality, bugs, security, and best practices. Use when reviewing Python code, functions, or modules for quality assessment.
Retrieve code diff from a GitHub Pull Request via GitHub API. Use this as the first step in a code review pipeline when reviewing GitHub PRs.
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Performs comprehensive code review of a GitHub PR. Use when: user wants to review a PR, check code changes, or analyze pull request.
Systematic code review with security, performance, and architecture analysis. Provides actionable fix suggestions and GitHub PR integration. Use when reviewing PRs, validating code changes, or checking code qua...
Roast a repository to identify issues, then translate to constructive feedback. Use when user wants code review, wants to find problems, asks to "roast" their code, or wants honest feedback about their codebase...
Review LLM-generated diff classifications for the diffview eval system. Use when the user invokes this skill or pastes yanked case data from evalreview (containing "# Diff Classification Review" header). Evalua...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.